The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Realtime performance-based facial animation
Open accessAbstract
This paper presents a system for performance-based character animation that enables any user to control the facial expressions of a digital avatar in realtime. The user is recorded in a natural environment using a non-intrusive, commercially available 3D sensor. The simplicity of this acquisition device comes at the cost of high noise levels in the acquired data. To effectively map low-quality 2D images and 3D depth maps to realistic facial expressions, we introduce a novel face tracking algorithm that combines geometry and texture registration with pre-recorded animation priors in a single optimization. Formulated as a maximum a posteriori estimation in a reduced parameter space, our method implicitly exploits temporal coherence to stabilize the tracking. We demonstrate that compelling 3D facial dynamics can be reconstructed in realtime without the use of face markers, intrusive lighting, or complex scanning hardware. This makes our system easy to deploy and facilitates a range of new applications, e.g. in digital gameplay or social interactions.
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Cites
Ekman, P., & Friesen, W. V. (2019) · PsycTESTS Dataset · doi:10.1037/t27734-000 · Cited by 6,019
Cootes, T. F., Edwards, G. J., & Taylor, C. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927467 · Cited by 5,409
Robust single-view geometry and motion reconstruction
Li, H., Adams, B., Guibas, L. J., & Pauly, M. (2009) · ACM Transactions on Graphics · doi:10.1145/1618452.1618521 · Cited by 334
Self-citation
Cited by
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
Thies, J., Zollhofer, M., Stamminger, M., Theobalt, C., & Niessner, M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.262 · Cited by 1,747
Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
Tam, G. K. L., Cheng, Z.-Q., Lai, Y.-K., Langbein, F. C., Liu, Y., Marshall, D., Martin, R. R., Sun, X.-F., & Rosin, P. L. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.310 · Cited by 679
Kim, H., Garrido, P., Tewari, A., Xu, W., Thies, J., Niessner, M., Pérez, P., Richardt, C., Zollhöfer, M., & Theobalt, C. (2018) · ACM Transactions on Graphics · doi:10.1145/3197517.3201283 · Cited by 475
Total Moving Face Reconstruction
Suwajanakorn, S., Kemelmacher-Shlizerman, I., & Seitz, S. M. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10593-2_52 · Cited by 93
Modality Dropout for Improved Performance-driven Talking Faces
Hussen Abdelaziz, A., Theobald, B.-J., Dixon, P., Knothe, R., Apostoloff, N., & Kajareker, S. (2020) · Proceedings of the 2020 International Conference on Multimodal Interaction · doi:10.1145/3382507.3418840 · Cited by 42
Metadata
- Authors
- Weise, T., Bouaziz, S., Li, H., & Pauly, M.
- Venue
- ACM SIGGRAPH 2011 papers
- Publisher
- ACM
- Published
- 2011-07-25
- Pages
- 1-10
- OpenAlex
- W1992187125
- Cited by
- 460
- References
- 3
- FWCI
- 39.22
- Type
- conference paper
- Language
- en
- Open access
- green
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